TensorFold 1.0.7 has landed with a major overhaul to Living Weights. • Each fact you teach through /learn becomes about ten new neurons inside the model's own weights, learned about 4x faster, with a live 3D view of what it has learned. Macs and DGX Spark. • Structured output and required tool calls on the native server, with drafting still on. • Qwen3.8-27B serves concurrent requests, and sampled replies draft too: 125 tok/s vs 20 on code on an M3 Ultra. • RTX 50-series and RTX PRO 6000 Blackwell support, NVFP4 Nemotron on DGX Spark, and faster GLM-5.3-Flash on two Macs. • Various other bugs and issues squashed I would like to thank the people who reached out to me and gave me access to their hardware to speed up testing. 🫶🏼 Thank you to everyone who sent PRs, reports and receipts, and to everyone using it: BobClawblaw BlivionIaG jschmied ZackSample ThinkOffApp jayleaton chaog992 Nipale-ai @volatilemarkts @MiaAI_lab @petruspennanen @plotarmordev